Transmission Lines Insulator State Detection Method Based on Deep Learning by Xu Tan, Shiying Hou, Fan Yang, Zhimin Li

“…Firstly, an insulator state detection model is built based on YOLOv7, and the model is improved using a bi-level routing attention mechanism and a content-aware up-sampling operator. Then, combined with dataset augmentation, including cropping, flipping, rotating, scaling, and splicing and a bounding box loss function incorporating a dynamic non-monotonic focus mechanism, 4000 visible images from different voltage levels of transmission lines are used for training. …”
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Hybrid Quantum-Classical Stochastic Approach to Dissipative Spin-Boson Models by Naushad A. Kamar, Mohammad Maghrebi

“…Furthermore, the spins are effectively decoupled for each stochastic realization, which nevertheless comes at the expense of sampling over unphysical states. In contrast with existing stochastic approaches based on the influence functional formalism, we place no restriction (factorizability or Gaussianity) on the initial state, or the spin-boson coupling (except that it be linear in the bosonic operator). …”
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A 13.44-Bit Low-Power SAR ADC for Brain–Computer Interface Applications by Hongyuan Yang, Jiahao Cheong, Cheng Liu

“…Through an optimized capacitive digital-to-analog converter (CDAC) array and a high-speed dynamic comparator, the ADC demonstrates a signal-to-noise-and-distortion ratio (SINAD) of 81.94 dB and a spurious-free dynamic range (SFDR) of 91.69 dBc at a sampling rate of 320 kS/s. …”
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Path Planning for Coal Mining Masonry Robots Combined With Trajectory Optimization by Xingyi Qian, Yan Wang

“…The improved RRT incorporates dynamic sampling regions and tree reorganization to reduce redundancy and enhance efficiency. …”
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Efficient construction of Markov state models for stochastic gene regulatory networks by domain decomposition by Maryam Yousefian, Anna-Simone Frank, Marcus Weber, Susanna Röblitz

“…The chemical master equation (CME) is the most accurate description to model such stochastic dynamics, whereby the long-time dynamics of the system is encoded in the spectral properties of the CME operator. …”
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Harmonic Path Integral Diffusion by Hamidreza Behjoo, Michael Chertkov

“…Validated on Gaussian mixtures and CIFAR-10 images, H-PID reveals a “weighted state” parameter as an order parameter in a dynamic phase transition, signaling early completion of the sampling process. …”
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Adaptive Bi-Directional RRT Algorithm for Three-Dimensional Path Planning of Unmanned Aerial Vehicles in Complex Environments by Nan Li, Sang Ik Han

“…In contrast to the Bi-RRT algorithm, which utilizes a random sampling strategy and a fixed step size, potentially leading to inefficiencies and limited search effectiveness, the ABi-RRT algorithm incorporates a dynamic mechanism. …”
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SORA: Energy-Efficient Resource Allocation in Open Radio Access Network With Online Learning by Aerman Tuerxun, Akihiro Nakao

“…Our approach is designed to operate with minimal assumptions about the network environment, making it highly adaptable to both stationary and dynamic conditions. …”
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Development and validation of a nomogram model for predicting postoperative delirium in elderly patients with oral cancer: a retrospective study by Chen Ying, Liu Xiaona, Zhang Aili, Wang Zengxiang, Wu Ying, Pu Yu, Zhang Hongbo, Wang Danni, Jiang Meiping, Dai Hongyuan

“…Abstract Objective This study aimed to develop and internally validate a dynamic a nomogram model by analysing the risk factors for postoperative delirium (POD) in elderly patients with oral cancer. …”
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SMOTE algorithm optimization and application in corporate credit risk prediction with diversification strategy consideration by Han Wei

“…Consequently, financial institutions increasingly prioritize cross-sectoral risk monitoring, business synergy evaluation, and dynamic financial tracking. On the other hand, regarding algorithmic innovation, this study conducts an in-depth analysis of SMOTE’s fundamental principles, encompassing its sample generation mechanics and optimized variants. …”
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Simulation analysis of path planning for workpiece clamping robots based on digital twin technology by Xin PAN, Min LIANG, Yanchao YIN, Zhong CHEN

“…Central to this method is the proposed RRT*-Connect algorithm, which performs dynamic elliptical constraint sampling. By integrating dynamic constraint sampling with adaptive step-size adjustments, the algorithm significantly enhances the efficiency of random tree search process. …”
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YOLOv8-RD: High-Robust Pine Wilt Disease Detection Method Based on Residual Fuzzy YOLOv8 by Junchao Yuan, Lina Wang, Tingting Wang, Ali Kashif Bashir, Maryam M. Al Dabel, Jiaxing Wang, Hailin Feng, Kai Fang, Wei Wang

“…Furthermore, by incorporating the dynamic upsampling operator, our model can dynamically adjust the sampling step size based on the variations in the input feature map during the upsampling process, thereby effectively recovering detail from the feature map. …”
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Charging Station Management Strategy for Returns Maximization via Improved TD3 Deep Reinforcement Learning by Hengjie Li, Jianghao Zhu, Yun Zhou, Qi Feng, Donghan Feng

“…Maximizing the return on electric vehicle charging station (EVCS) operation helps to expand the EVCS, thus expanding the EV (electric vehicle) stock and better addressing climate change. …”
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DRCO: Dense-Label Refinement and Cross Optimization for Semi-Supervised Object Detection by Yunlong Qin, Yanjun Li, Feifan Ji, Yan Liu, Yu Wang, Ji Xiang

“…Specifically, to tackle the issue of low-quality sampling, we introduce the Adaptive Sampling Approach (ASA), which achieves high-quality sampling at the image level and dynamic sampling ratios without introducing any additional hyperparameters. …”
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Navigating Risks with ISO 31000 for A Sustainable Future: A Strategic Approach in The Indonesia Textile Industry by Yonatan Agnes Zefanya, Susanto Sani, Sukapto Paulus, Zagloel Teuku Yuri M., Timotius Elkana

“…The dynamic changes across various industries are creating uncertainty, potentially leading to a state of risk. …”
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First Hitting Times on a Quantum Computer: Tracking vs. Local Monitoring, Topological Effects, and Dark States by Qingyuan Wang, Silin Ren, Ruoyu Yin, Klaus Ziegler, Eli Barkai, Sabine Tornow

“…To this end, the first hitting time statistics are recorded using unitary dynamics interspersed stroboscopically by measurements, which are implemented on IBM quantum computers with a midcircuit readout option. …”
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Comprehensive Task Optimization Architecture for Urban UAV-Based Intelligent Transportation System by Marco Rinaldi, Stefano Primatesta

“…A risk-aware path planner sampling a 2D risk map of the operational area is included in the allocation architecture to demonstrate the feasibility of deployment in urban environments. …”
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Aerothermoelastic Analysis of a Hypersonic Vehicle Based on Thermal Modal Reconstruction by Zhiqiang Chen, Yonghui Zhao

“…Hypersonic vehicles operate in a severe aerodynamic heating environment, which has a significant impact on their structural dynamic characteristics. …”
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A Novel Over-The-Air Measurement Method for Linear Frequency Modulation Signals Using Continuous Wave Receiver by Sungpil Cheon, Byungkwan Kim

“…The study also explored the impact of varying sampling rates, revealing that higher rates generally reduce errors, with optimal results achieved when the sampling interval aligns harmonically with radar chirp intervals. …”
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Tensor Calculus in Digital Colorimetry by Y. N. Saukova, M. A. Hundzina

“…According to this approach the color space is a set of directed vector fields undergoing sampling, quantization and coding operations. Also it is a dynamic open system exchanging information with the environment at a given level and to identify color with specified levels of accuracy, reliability, uncertainty and entropy.…”
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